Image Processing Apparatus Frequency Band Segmentation
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Solution Overview
Problem
Existing image processing apparatuses face challenges in enhancing images with fold-over components and noise-eliminated images, as simple high-frequency enhancement is inadequate, leading to inappropriate picture quality and loss of high-frequency components.
Innovation Solution
The image processing apparatus includes first and second intermediate image generating means to extract specific frequency components and an adding means to combine these components with the input image, effectively addressing fold-over components and noise elimination by generating and adding high-frequency components without enhancing noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If simple high-frequency component enhancement is applied to an enlarged image, then high-frequency components are enhanced, but fold-over components are also enhanced resulting in inappropriate picture quality
Solution Approach 1:
The frequency spectrum is divided into multiple bands using band-pass filters. The first band-pass filter extracts a first frequency band, and the second band-pass filter extracts a second frequency band. This segmentation allows selective enhancement of specific frequency ranges while excluding fold-over components, resolving the contradiction between enhancing high-frequency components and avoiding fold-over component enhancement.
Solution Approach 2:
Different frequency bands are processed with different enhancement characteristics. The first frequency band is enhanced using first enhancement coefficients, while the second frequency band is enhanced using second enhancement coefficients. This local quality approach allows tailored enhancement for each frequency region, improving overall image quality while controlling fold-over component enhancement.
2Object-generated harmful factors
If frequency band is limited to exclude fold-over components, then fold-over component enhancement is avoided, but high-frequency side enhancement must be avoided resulting in inadequate enhancement process
Solution Approach 1:
The frequency spectrum is segmented into multiple bands, allowing the system to identify and process only the appropriate frequency ranges. By using band-pass filters to extract specific frequency bands and applying enhancement only to these extracted bands, the system achieves adequate enhancement while excluding fold-over components.
Solution Approach 2:
Band-pass filters serve as intermediary elements that selectively pass specific frequency bands while blocking others. These filters act as mediators between the input image and the enhancement process, allowing the system to access only the appropriate frequency components for enhancement without inadvertently enhancing fold-over components.
3Object-affected harmful factors
If noise elimination process is applied, then noise is eliminated, but high-frequency components are eliminated making adequate image enhancement processing impossible
Solution Approach 1:
The frequency spectrum is divided into multiple bands, allowing the system to distinguish between noise frequencies and useful high-frequency image components. By using band-pass filters to extract specific frequency bands and applying enhancement only to these extracted bands, the system can restore high-frequency components that were removed during noise elimination without re-introducing noise.
Solution Approach 2:
Band-pass filters act as intermediaries that selectively recover frequency bands removed during noise elimination. These filters enable the system to access and enhance specific frequency ranges that contain useful image information while excluding noise, thus restoring image enhancement capability without reintroducing noise.
4Manufacturing precision
If high-frequency component enhancement is applied to an image including noise, then high-frequency components are enhanced, but noise included in the enhanced frequency band is also enhanced
Solution Approach 1:
The frequency spectrum is segmented into multiple bands using band-pass filters. By extracting specific frequency bands and applying enhancement only to these extracted bands with controlled enhancement coefficients, the system can enhance high-frequency image components while controlling and minimizing noise enhancement in the enhanced frequency bands.
Data Source
AI summary
There are provided a first intermediate image generating means (1) for generating a first intermediate image (D1) by extracting a component in a vicinity of a particular frequency band in an input image (DIN), a second intermediate image generating means (2) for generating a second intermediate image (D2) from the first intermediate image (D1), and an adding means for adding the input image (DIN) and the second intermediate image (D2). The second intermediate image generating means (2) includes a non-linear processing means (2A) that varies the content of its processing according to the pixel in the intermediate image (D1). Even if the input image includes a fold-over component on the high-frequency side or does not include an adequate high-frequency component, adequate image enhancement processing can be carried out.